4.42 (24 reviews)
☑ This is a short masterclass in Pandas, the most famous library for data manipulation in Python.
☑ You will learn what Pandas is, and how it can help you load, manage, and transform tabular data.
☑ Learn to analyze real world data using Python & Pandas.
☑ Import data from multiple sources, clean, reshape, impute and visualize your data.
☑ Use Python and Pandas to select, group and summarize your data.
☑ Decide what data to keep and what to ignore.
☑ Create compelling visualizations using Seaborn and Matplotlib.
This masterclass introduces you to concepts and practices for building compelling analyses and dashboards on datasets of any size. It is designed to be self contained and to be consumed quickly in a single session. It will get you up to speed from zero knowledge of Pandas to understanding how the library operates and using it in several different scenarios.
You will learn:
What tabular data is and where you find it
How Pandas allows you to load from, and save to, multiple data formats
How to use two main components of Pandas: the Series and the DataFrame
The main methods to select, group and summarize your data using Pandas
How to perform complex operations such as pivot tables and split-apply-combine
How to create compelling visualizations using Seaborn and Matplotlib directly from Pandas
The masterclass is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes a lab with hands-on exercises and solutions.
No software installation required. You can run the code on Google CoLab and get started right away.
This class is the fastest way to get up to speed in Pandas.
Pandas is the most famous data manipulation library and it is used by millions of people every day to analyze and manipulate large datasets. It is mature, robust, easy to use and it has extensive documentation, so it's the perfect entry point for beginners and pros.
Data Manipulation with Pandas
Selections & Filters
Question: Numpy & Pandas
Sort & Pivot
Question: in memory
Lab & Exercises
Lab Part 1
Lab Part 2
Question Python & R
Lab Part 2
Lab Exercise 1 - Prompt
Lab Exercise 1 - Solution
Lab Part 3
Lab Exercise 2
Excellent content to cover in a high level summary of pandas functionality. The lab exercises were an excellent way to apply what was reviewed in the lectures. Thank you!